Wind Power Prediction Using KLMS Algorithm
Published in 2018 International Conference on Inventive Research in Computing Applications (ICIRCA) • Jul 1, 2018
NobleIDNI7P03W64R41S86
Authors:,
Pratima Kumari
Rajesh Wadhvani
Abstract
This study uses the kernalised version of Least Mean Square (LMS) algorithm which offers a technique of taking sample-by-sample update for reproducing kernel Hilbert spaces (RKHS), named as KLMS. This study uses online learning as it works in a dynamic mode where dependencies of variables change wit...
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